UiPath
Enterprise · RPA
- HQ
- New York City, US
- Founded
- 2005
- Size
- 4,000+
- Website
- uipath.com
Currently tracking 14 active AI roles, up 18% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $200k–$290k (avg $235k).
Enterprise · RPA
UiPath has 19 active AI-related job listings, with a strong focus on roles related to agents, which constitute 74% of their current AI hiring. The dominant function for these positions is Engineering. Recent hiring trends show an increase, with 11 new AI roles posted in the last 30 days, a 57% rise compared to the previous 30-day period.
UiPath currently has 27 active AI-related roles in our index. The most common open titles are: Principal Software Engineer (2), Principal Software Engineer, Site Reliability (2), Senior Forward Deployed Engineer (2), Applied Scientist II, Automation Developer Intern. Most positions are in Engineering and Product.
UiPath's active AI hiring is concentrated in: agents (78%), serving infrastructure (7%), post-training (7%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
UiPath is hiring AI talent in: United States (11 roles), India (9 roles), Romania (7 roles).
Job postings at UiPath most frequently reference: agent orchestration, model serving, evals, llm observability, tool use.
In the past 30 days, UiPath has posted 16 new AI-related roles. That is a +23% change versus the prior 30 days (13 → 16).
| Title | Stage | AI score |
|---|---|---|
| Principal Software Engineer, Site Reliability UiPath is seeking a Principal Software Engineer for their Site Reliability team. This role focuses on building and scaling SRE platform systems and capabilities, increasingly powered by AI. The engineer will design, engineer, and build these systems as products, participate in livesite monitoring, drive availability and performance improvements, and ensure technical deliverables meet high standards. A key aspect is driving adoption of these platforms by directly engaging with other teams and embedding best practices into the systems themselves. The role requires a strong background in distributed systems, experience with AI-powered applications in production, and proficiency in object-oriented programming. | Serve | 7 |